Director Clinical Computation ModelArtificial Intelligence (Full Time, Days)

Minimum Job Requirements

• Ph.D in Biomedical Engineering Computational Science or related field
• Masters Degree in MBA preferred (or in progress)
• 7-10 years of medical technology device development or computational modeling
• 2-4 years of prior experience in surgical innovation translational research and interdisciplinary collaboration in clinical environments

Knowledge Skills and Abilities

• Expertise in computational modeling digital twin simulation and device design.
• Proficient in Python Swift C and cloud-native app environments (FastAPI Docker etc.).
• Knowledge of spatial computing and AR/VR surgical platforms (e.g. Apple Vision Pro Hololens).
• Strong experience in AI/ML applications in healthcare.
• Excellent collaboration and communication skills across clinical and technical teams.
• Experience developing regulatory submissions and IRB protocols.
• Capable of mentoring junior engineers and collaborating with external partners.
• Demonstrated ability to lead innovation initiatives from ideation through clinical translation.
  

Job Summary

The Director Clinical Computational Modeling & Artificial Intelligence is a senior-level engineering role embedded within the Nicklaus Childrens Hospital Heart Institute. This position supports the pediatric cardiovascular surgical team by identifying clinical needs and developing bedside-ready engineering solutions. Responsibilities include the design simulation and implementation of medical devices spatial computing platforms and computational models to enhance surgical precision and patient outcomes. Serves as a bridge between surgical care and advanced engineering integrating translational research clinical workflow optimization and technology development in a high-acuity pediatric environment.

Job Specific Duties

• Participate in daily surgical rounds as a core member of the surgical team to identify clinical challenges and opportunities for innovation.
• Leads development of patient-specific computational models (e.g. fluid dynamics digital twins) to enhance preoperative planning intraoperative strategy and post-operative optimization.
• Develop and prototype novel devices tools or algorithms to support bedside decision-making.
• Drives translational research execution including IRB protocol development data collection/analysis and preparation of FDA/regulatory documentation to advance clinical -lead efforts with segment Chief in translational grant proposals (e.g. R01 R21).
• Leads cross-functional multidisciplinary teams involving surgeons cardiologists data scientists and regulatory specialists to co-develop test and implement novel solutions in live clinical environments.
• Collaborate with external academic and industry partners to drive co-development of novel technologies.
• Lead or co-author manuscripts white papers and regulatory documentation.
• Represent the Heart Institute at national conferences (e.g. AATS STS IEEE).
• Lead a team of engineers junior researchers or visiting fellows creating a sustained innovation workforce pipeline aligned with the mission of the Heart Institute.